Evidence map›Paper›PMID 30568246›Full record

ArticleScientific reports2018

Exploring the rumen fluid metabolome using liquid chromatography-high-resolution mass spectrometry and Molecular Networking.

Rafaela Takako Ribeiro de Almeida, Rodolpho Martin do Prado, Carla Porto, Geraldo Tadeu Dos Santos, Sharon Ann Huws, Eduardo Jorge Pilau

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  5. Fecal metabolome in Nelore bulls fed pre- and post-feedlot diets.Tropical animal health and production · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Rafaela Takako Ribeiro de AlmeidaLaBioMass, Chemistry Department, Universidade Estadual de Maringá, Maringá, Brazil.ORCID http://orcid.org/0000-0002-2914-0416
Rodolpho Martin do PradoLaBioMass, Chemistry Department, Universidade Estadual de Maringá, Maringá, Brazil.ORCID http://orcid.org/0000-0003-3529-7783
Carla PortoLaBioMass, Chemistry Department, Universidade Estadual de Maringá, Maringá, Brazil.ORCID http://orcid.org/0000-0001-8331-2760
Geraldo Tadeu Dos SantosAnimal Science Department, Universidade Estadual de Maringá, Maringá, Brazil.
Sharon Ann HuwsInstitute for Global Food Security, Queen's University of Belfast, Northern Ireland, UK.ORCID http://orcid.org/0000-0002-9284-2453
Eduardo Jorge PilauLaBioMass, Chemistry Department, Universidade Estadual de Maringá, Maringá, Brazil. ejpilau@uem.br.ORCID http://orcid.org/0000-0002-9175-3520
Universidade Estadual de Maringá · BRQueen's University Belfast · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rumen primary and secondary metabolite content is intimately related to its community of bacteria, protozoa, fungi, archaea and bacteriophages, ingested feed and the host. Despite the myriad of interactions and novel compounds to be discovered, few studies have explored the rumen metabolome. Here, we present the first study using ultra-high performance liquid chromatography tandem mass-spectrometry and Molecular Networking approach, and various extraction methods on the cell-free rumen fluid of a non-lactating Holstein cow. Putative molecules were annotated based on accurate fragmentation matching the Global Natural Products Social Molecular Networking library, public spectral libraries, or annotated manually. The combination of five extraction methods resulted on 1,882 molecular features observed. Liquid-liquid extraction resulted on the highest molecular features abundance, 1,166 (61.96% of total). Sixty-seven compounds were annotated using Global Natural Products Social Molecular Networking library and public libraries, such as hydrocinnamic and azelaic acid, and monensin. Only 3.56% of molecular features (67) observed had positive match with available libraries, which shows the potential of the rumen as reservoir of novel compounds. The use of untargeted metabolomics in this study provided a snapshot of the rumen fluid metabolome. The complexity of the rumen will remain long unknown, but the use of new tools should be encouraged to foster advances on the rumen metabolome.

Indexed as

MetabolomeMetabolomicsAnimalsCattleChromatography, LiquidGastric JuiceRumenTandem Mass Spectrometry

Identifiers

PMID30568246
PMCPMC6299289
OpenAlexW2905115039

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.